code: def streamline_gradients(streamline):
      """
      Calculate the gradients of the streamline along the spatial dimension
  
      Parameters
      ----------
      streamline : array-like of shape (n, 3)
          The 3d coordinates of a single streamline
  
      Returns
      -------
      Array of shape (3, n): Spatial gradients along the length of the
      streamline.
  
      """
      return np.array(gradient(np.asarray(streamline))[0])
  
imports: import numpy
  import scipy.sparse
  import scipy.linalg
  from dipy.reconst.base import ReconstModel, ReconstFit
  from dipy.tracking.utils import unique_rows
  from dipy.tracking.streamline import transform_streamlines
  from dipy.tracking.vox2track import _voxel2streamline
  import dipy.data
  import dipy.core.optimize
label_desc: Use image node_id 2 for calling a global function with example usage: streamline_gradients(streamline) and returns: np